Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA
Author:
Affiliation:
1. National Taiwan University, Taipei City, Taiwan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583131.3590403
Reference29 articles.
1. Fulya Altiparmak , Mitsuo Gen , Lin Lin , and Turan Paksoy . 2006. A genetic algorithm approach for multi-objective optimization of supply chain networks. Computers & industrial engineering 51, 1 ( 2006 ), 196--215. Fulya Altiparmak, Mitsuo Gen, Lin Lin, and Turan Paksoy. 2006. A genetic algorithm approach for multi-objective optimization of supply chain networks. Computers & industrial engineering 51, 1 (2006), 196--215.
2. The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization
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5. More concise and robust linkage learning by filtering and combining linkage hierarchies
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